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Sample-based Dynamic Hierarchical Transformer with Layer and Head Flexibility via Contextual Bandit

5 December 2023

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Papers citing "Sample-based Dynamic Hierarchical Transformer with Layer and Head Flexibility via Contextual Bandit"

18 / 18 papers shown

Title
Text Compression-aided Transformer Encoding Z. Li Zhuosheng Zhang Hai Zhao Rui Wang Kehai Chen Masao Utiyama Eiichiro Sumita AI4CE 57 45 0 11 Feb 2021
Extremely Low Bit Transformer Quantization for On-Device Neural Machine Translation Insoo Chung Byeongwook Kim Yoonjung Choi S. Kwon Yongkweon Jeon Baeseong Park Sangha Kim Dongsoo Lee MQ 69 27 0 16 Sep 2020
DynaBERT: Dynamic BERT with Adaptive Width and Depth Lu Hou Zhiqi Huang Lifeng Shang Xin Jiang Xiao Chen Qun Liu MQ 81 322 0 08 Apr 2020
FastBERT: a Self-distilling BERT with Adaptive Inference Time Weijie Liu Peng Zhou Zhe Zhao Zhiruo Wang Haotang Deng Qi Ju 84 360 0 05 Apr 2020
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf 255 7,547 0 02 Oct 2019
TinyBERT: Distilling BERT for Natural Language Understanding Xiaoqi Jiao Yichun Yin Lifeng Shang Xin Jiang Xiao Chen Linlin Li F. Wang Qun Liu VLM 109 1,869 0 23 Sep 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 81 885 0 25 Jun 2019
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction Antoine Bosselut Hannah Rashkin Maarten Sap Chaitanya Malaviya Asli Celikyilmaz Yejin Choi 82 912 0 12 Jun 2019
Efficient 8-Bit Quantization of Transformer Neural Machine Language Translation Model Aishwarya Bhandare Vamsi Sripathi Deepthi Karkada Vivek V. Menon Sun Choi Kushal Datta V. Saletore MQ 74 132 0 03 Jun 2019
Are Sixteen Heads Really Better than One? Paul Michel Omer Levy Graham Neubig MoE 105 1,068 0 25 May 2019
Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned Elena Voita David Talbot F. Moiseev Rico Sennrich Ivan Titov 117 1,146 0 23 May 2019
Adaptive Attention Span in Transformers Sainbayar Sukhbaatar Edouard Grave Piotr Bojanowski Armand Joulin 76 286 0 19 May 2019
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks Raphael Tang Yao Lu Linqing Liu Lili Mou Olga Vechtomova Jimmy J. Lin 72 421 0 28 Mar 2019
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression Jian-Hao Luo Jianxin Wu Weiyao Lin 58 1,761 0 20 Jul 2017
Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples Haw-Shiuan Chang Erik Learned-Miller Andrew McCallum 86 354 0 24 Apr 2017
Soft Weight-Sharing for Neural Network Compression Karen Ullrich Edward Meeds Max Welling 169 419 0 13 Feb 2017
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 263 8,859 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,700 0 08 Jun 2015